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Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network

Journal of Process Control, 2018
A prediction model based on the principal component analysis (PCA) and back propagation (BP) neural network is proposed for BOF end-point phosphorus content, based on the characters of BOF metallurgical process and production data.
F. He, Ling-Ying Zhang
semanticscholar   +1 more source

Two-Dimensional Quaternion PCA and Sparse PCA

IEEE Transactions on Neural Networks and Learning Systems, 2019
Benefited from quaternion representation that is able to encode the cross-channel correlation of color images, quaternion principle component analysis (QPCA) was proposed to extract features from color images while reducing the feature dimension.
Xiaolin Xiao, Yicong Zhou
semanticscholar   +1 more source

PCA-SIFT: a more distinctive representation for local image descriptors

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
Yan Ke, Rahul Sukthankar
semanticscholar   +1 more source

PCA-Based Edge-Preserving Features for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2017
Xu-Dong Kang   +3 more
semanticscholar   +1 more source

PCA of waveforms and functional PCA: A primer for biomechanics

Journal of Biomechanics, 2021
Andrew Harrison   +2 more
exaly  

Intelligent bearing fault diagnosis using PCA–DBN framework

Neural computing & applications (Print), 2019
Jing Zhu, T. Hu, B. Jiang, Xin Yang
semanticscholar   +1 more source

Scaled PCA: A New Approach to Dimension Reduction

Management Science, 2022
Guofu Zhou, Fuwei Jiang, Dashan Huang
exaly  

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